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The good, the bad and the aged: predicting sensory quality of anhydrous milk fat by PTR/SRI-Tof-MS analysis and data mining
International Dairy Journal ( IF 3.1 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.idairyj.2020.104729
M. Pedrotti , I. Khomenko , M. Fontana , M. Somenzi , L. Falchero , M. Arveda , L. Cappellin , V. Fogliano , F. Biasioli

Abstract Due to its versatility, anhydrous milk fat (AMF) has become more popular as a food industry ingredient, but its quality control remains a critical challenge. A direct injection mass spectrometry technique was applied to predict sensory quality of AMF. Volatilome analysis through proton transfer reaction mass spectrometry (PTR-MS) was used to classify 39 industrial samples of AMF according to industrial sensory evaluation and to accelerated ageing. A selective reagent ion system was used to evaluate the suitability of PTR-MS alternative ionisation modes for quality control. Supervised multivariate data analysis successfully classified samples and showed that samples exposed to accelerated shelf life at 50 °C presented higher intensities of most volatiles, especially for the ones derived from oxidation like aldehydes and ketones, while samples with an acceptable quality level had lower emissions of volatiles. PTR-MS technique is ideal to support agroindustry sensory quality programs requiring rapid on-line analytical information.

中文翻译:

好的、坏的和老化的:通过 PTR/SRI-Tof-MS 分析和数据挖掘预测无水乳脂肪的感官质量

摘要 由于其多功能性,无水乳脂 (AMF) 作为食品工业成分越来越受欢迎,但其质量控制仍然是一个关键挑战。应用直接注射质谱技术来预测 AMF 的感官质量。通过质子转移反应质谱(PTR-MS)的挥发分分析被用于根据工业感官评价和加速老化对39个AMF工业样品进行分类。选择性试剂离子系统用于评估 PTR-MS 替代电离模式对质量控制的适用性。受监督的多元数据分析成功地对样品进行了分类,并表明在 50°C 下暴露于加速保质期的样品表现出更高强度的大多数挥发物,尤其是那些来自氧化的醛和酮,而具有可接受质量水平的样品的挥发物排放量较低。PTR-MS 技术是支持需要快速在线分析信息的农业工业感官质量计划的理想选择。
更新日期:2020-10-01
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